Portal:Storage

From Wikibon

(Difference between revisions)
Jump to: navigation, search
 
(16 intermediate revisions not shown)
Line 4: Line 4:
The Wikibon Data Storage Portal contains data storage industry research, articles, expert opinion, case studies, and data storage company profiles.  
The Wikibon Data Storage Portal contains data storage industry research, articles, expert opinion, case studies, and data storage company profiles.  
-
{| class="wikitable" style="font-size: 85%; text-align: center; width: auto;"
+
 
-
![[Image:LinkedIn.gif‎|right|100px]]
+
'''Latest Information Storage Research'''
-
|[[Image:facebook.jpeg|right|100px]]
+
* [http://wikibon.org/wiki/v/Storage_Facts%2C_Figures%2C_Best_Practices%2C_and_Estimates Storage Facts, Figures, Best Practices, and Estimates]
-
|[[Image:twitter.jpg|right|100px]]
+
 
 +
 
 +
{| class="wikitable" style="font-size: 80%; text-align: center; width: 95%;"
 +
![[Image:LinkedIn.gif‎|100px|link=http://www.linkedin.com/groups?gid=835317&trk=hb_side_g]]
 +
|[[Image:facebook.jpeg|100px|link=http://www.facebook.com/pages/Wikibon/6191646228]]
 +
|[[Image:twitter.jpg|100px|link=http://twitter.com/wikibon]]
 +
|[[Image:blog-2.jpg|100px|link=http://wikibon.org/blog]]
|-
|-
-
!'''[http://www.linkedin.com/groups?gid=835317&trk=hb_side_g >>Join our Group]
+
|[http://www.linkedin.com/groups?gid=835317&trk=hb_side_g >>Join our Group]
 +
|[http://www.facebook.com/pages/Wikibon/6191646228 >>Become a Fan]
|[http://twitter.com/wikibon >>Follow @Wikibon]
|[http://twitter.com/wikibon >>Follow @Wikibon]
-
|[http://www.facebook.com/pages/Wikibon/6191646228 >>Become a Fan]'''
+
|[http://wikibon.org/blog >>Read the Blog]
-
|-
+
|-}
-
}
+
 
__NOTOC__
__NOTOC__
{|
{|
Line 36: Line 43:
</p>
</p>
[[Storage virtualization design and deployment | read more...]]
[[Storage virtualization design and deployment | read more...]]
-
|}[[Category:3PAR]][[Category: Backup and restore]][[Category: Blade computing]][[Category: Business compliance]][[Category: CDP]][[Category: Careers]][[Category: Careers wikitips]][[Category: Clustered storage]][[Category: DMX]][[Category: Data Protection wikitips]]
+
|}[[Category:Backup and restore]][[Category: Blade computing]][[Category: Business compliance]][[Category: CDP]][[Category: Careers]][[Category: Careers wikitips]][[Category: Clustered storage]][[Category: Compliance and discovery]][[Category: Enterprise mobile wikitips]]

Current revision as of 00:18, 23 February 2010

The Wikibon Data Storage Portal contains data storage industry research, articles, expert opinion, case studies, and data storage company profiles.


Latest Information Storage Research


>>Join our Group >>Become a Fan >>Follow @Wikibon >>Read the Blog

Wikitip

Integration makes RPO more important than RTO

IT executives should aggressively educate their constituents that improving RPO (recovery point objective) and avoiding data loss/data inconsistency will in general be a better investment than focusing on RTO (recovery time objective) and getting systems up faster. This is because as today's applications increasingly become inter-related, the best and most viable way to perform proper recovery is to do so in an automated fashion, with as little human intervention as possible. Fast recovery with inconsistent data will mean human intervention and a 'rat hole' of endless fixes with uncertain outcomes.

View Another Wikitip

Featured Case Study

Virtualization Energizes Cal State University

John Charles is the CIO of California State University, East Bay (CSUEB) and Rich Avila is Director, Server & Network Operations. In late 2007 they were both looking down the barrel of a gun. The total amount of power being used in the data center was 67KVA. The maximum power from the current plant was 75kVA. PG&E had informed them that no more power could be delivered. They would be out of power in less than six months. A new data center was planned, but would not be available for two years.

read more...

Storage Professional Alerts


Featured How-To Note

Storage Virtualization Design and Deployment

A main impediment to storage virtualization is the lack of multiple storage vendor (heterogeneous) support within available virtualization technologies. This inhibits deployment across a data center. The only practical approach is either to implement a single vendor solution across the whole of the data center (practical only for small and some medium size data centers) or to implement virtualization in one or more of the largest storage pools within a data center.

read more...

Personal tools